college

Dataset with different scores (high school, undergrad basic, undergrad intermediate, and GPA) of graduated college student in life sciences majors

datasets

Partial Least Squares Path Modeling (PLS-PM), Tenenhaus, Esposito Vinzi, Chatelin, Lauro (2005) <doi:10.1016/j.csda.2004.03.005>,
analysis for both metric and non-metric data, as well as REBUS analysis, Esposito Vinzi, Trinchera, Squillacciotti, and Tenenhaus (2008) <doi:10.1002/asmb.728>.

Frederic Bertrand

plspm

Partial Least Squares Path Modeling (PLS-PM)

Gaston Sanchez

Laura Trinchera

Giorgio Russolillo

college function

A data frame with 352 students on the following 13 variables. The variables may be used to construct four suggested latent concepts: 1) <code>HighSchool</code>=High School related scores, 2) <code>Basic</code>=scores of basic courses, 3) <code>InterCourse</code>=Scores of intermediate courses, 4) <code>GPA</code>=Final GPA (Graduate Point Average)
<table class="table">
<tr><td>Num</td><td>Variable</td><td>Description</td><td>Concept</td></tr>
<tr><td>1</td><td><code>HS_GPA</code></td><td>High School GPA</td><td><code>HighSchool</code></td></tr>
<tr><td>2</td><td><code>SAT_Verbal</code></td><td>Verbal SAT score</td><td><code>HighSchool</code></td></tr>
<tr><td>3</td><td><code>SAT_Math</code></td><td>Math SAT score</td><td><code>HighSchool</code></td></tr>
<tr><td>4</td><td><code>Biology1</code></td><td>Introductory Biology</td><td><code>BasicCourses</code></td></tr>
<tr><td>5</td><td><code>Chemistry1</code></td><td>Introductoy Chemistry</td><td><code>BasicCourses</code></td></tr>
<tr><td>6</td><td><code>Math1</code></td><td>Calculus 1</td><td><code>BasicCourses</code></td></tr>
<tr><td>7</td><td><code>Physics1</code></td><td>Introductory Physics</td><td><code>BasicCourses</code></td></tr>
<tr><td>8</td><td><code>Biology2</code></td><td>Intermediate Biology</td><td><code>InterCourses</code></td></tr>
<tr><td>9</td><td><code>Chemistry2</code></td><td>Intermediate Chemistry</td><td><code>InterCourses</code></td></tr>
<tr><td>10</td><td><code>Math2</code></td><td>Calculus 2</td><td><code>InterCourses</code></td></tr>
<tr><td>11</td><td><code>Physics2</code></td><td>Intermediate Physics</td><td><code>InterCourses</code></td></tr>
<tr><td>12</td><td><code>FinalGPA</code></td><td>Graduation GPA</td><td><code>FinalGPA</code></td></tr>
<tr><td>13</td><td><code>Gender</code></td><td>Gender</td><td><code>none</code></td></tr>
</table>

Format

College datasets — college

A data frame with 352 students on the following 13 variables. The variables may be used to construct four suggested latent concepts: 1) <code>HighSchool</code>=High School related scores, 2) <code>Basic</code>=scores of basic courses, 3) <code>InterCourse</code>=Scores of intermediate courses, 4) <code>GPA</code>=Final GPA (Graduate Point Average)
<table class='table'>
<tr><td>Num</td><td>Variable</td><td>Description</td><td>Concept</td></tr>
<tr><td>1</td><td><code>HS_GPA</code></td><td>High School GPA</td><td><code>HighSchool</code></td></tr>
<tr><td>2</td><td><code>SAT_Verbal</code></td><td>Verbal SAT score</td><td><code>HighSchool</code></td></tr>
<tr><td>3</td><td><code>SAT_Math</code></td><td>Math SAT score</td><td><code>HighSchool</code></td></tr>
<tr><td>4</td><td><code>Biology1</code></td><td>Introductory Biology</td><td><code>BasicCourses</code></td></tr>
<tr><td>5</td><td><code>Chemistry1</code></td><td>Introductoy Chemistry</td><td><code>BasicCourses</code></td></tr>
<tr><td>6</td><td><code>Math1</code></td><td>Calculus 1</td><td><code>BasicCourses</code></td></tr>
<tr><td>7</td><td><code>Physics1</code></td><td>Introductory Physics</td><td><code>BasicCourses</code></td></tr>
<tr><td>8</td><td><code>Biology2</code></td><td>Intermediate Biology</td><td><code>InterCourses</code></td></tr>
<tr><td>9</td><td><code>Chemistry2</code></td><td>Intermediate Chemistry</td><td><code>InterCourses</code></td></tr>
<tr><td>10</td><td><code>Math2</code></td><td>Calculus 2</td><td><code>InterCourses</code></td></tr>
<tr><td>11</td><td><code>Physics2</code></td><td>Intermediate Physics</td><td><code>InterCourses</code></td></tr>
<tr><td>12</td><td><code>FinalGPA</code></td><td>Graduation GPA</td><td><code>FinalGPA</code></td></tr>
<tr><td>13</td><td><code>Gender</code></td><td>Gender</td><td><code>none</code></td></tr>
</table>

Num	Variable	Description	Concept
1	`HS_GPA`	High School GPA	`HighSchool`
2	`SAT_Verbal`	Verbal SAT score	`HighSchool`
3	`SAT_Math`	Math SAT score	`HighSchool`
4	`Biology1`	Introductory Biology	`BasicCourses`
5	`Chemistry1`	Introductoy Chemistry	`BasicCourses`
6	`Math1`	Calculus 1	`BasicCourses`
7	`Physics1`	Introductory Physics	`BasicCourses`
8	`Biology2`	Intermediate Biology	`InterCourses`
9	`Chemistry2`	Intermediate Chemistry	`InterCourses`
10	`Math2`	Calculus 2	`InterCourses`
11	`Physics2`	Intermediate Physics	`InterCourses`
12	`FinalGPA`	Graduation GPA	`FinalGPA`
13	`Gender`	Gender	`none`

college: College datasets

Description

Usage

Arguments

Format

Examples